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Evidence-Based Complementary and Alternative Medicine
Volume 2013, Article ID 840427, 9 pages
Research Article

dTGS: Method for Effective Components Identification from Traditional Chinese Medicine Formula and Mechanism Analysis

1Beijing University of Chinese Medicine, School of Chinese Pharmacy No. 6, Zhonghuan South Road, Wangjing, Chaoyang, Beijing 100102, China
2Pennsylvania State University Erie, The Behrend College, School of Engineering, 5101 Jordan Road, Erie, PA 16563, USA

Received 24 July 2013; Revised 27 September 2013; Accepted 27 September 2013

Academic Editor: Weidong Zhang

Copyright © 2013 Ji Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Because of the complexity of the components in Traditional Chinese Medicine formula (TCM formula), it is still a challenge to identify its effective components, to elucidate the mechanism of the components, and to discover the relationship between components and therapy objectives. In this paper, a method called directed TCM grammar systems (dTGS) for effective component identification was proposed using entity grammar systems (EGS) as the theoretical framework. The component-disease relationship of a TCM formula (i.e., Bai-Hu decoction plus Wasting-Thirsting formula, BHDWT) and one disease (i.e., type 2 diabetes mellitus) treated with it was studied, and the effective component groups (ECGs) were identified. 19 compounds were found acting on 20 proteins in type 2 diabetes mellitus (T2D) disease network, and 15 compounds were determined as the candidate effective components. Results indicated that this method can be used to identify the effective components and provide an innovative way to elucidate the molecular mechanism of TCM formulas.